MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133624 A) filed by Qis College Of Engineering And Technology, Ongole, Andhra Pradesh, on Dec. 30, 2025, for 'quantum-enhanced artificial intelligence system for accurate cancer detection using quantum support vector machines.'
Inventor(s) include Dr D Vidyanadha Babu; Karna Srikanth; Bandi Naveen; Bommu Prabhudas; Kanpila Venkata Ramanjaneyulu; and Chintharaboina Malathi.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a quantum-enhanced artificial intelligence system for accurate cancer detection using medical imaging and diagnostic data. The system integrates classical image preprocessing and feature extraction techniques with quantum machine learning methods to improve diagnostic accuracy and efficiency. Medical images are initially processed using classical techniques, and relevant features are extracted using Principal Component Analysis and Gray Level Co-occurrence Matrix methods. These features are encoded into quantum states through quantum feature mapping and processed using quantum circuits to compute a quantum kernel matrix. A Quantum Support Vector Machine classifier utilizes the quantum kernel to classify samples as malignant or benign. The hybrid quantum-classical framework enhances feature separability, reduces overfitting, and enables effective learning from limited datasets. The invention provides a scalable and future-ready solution for advanced cancer diagnostics and clinical decision support systems."
Disclaimer: Curated by HT Syndication.
